Gcp Data Engineer Resume Samples

Description :

1. Acted as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a Code.
2. Responsible for making decisions in developing standards and companywide best practices for engineering and large-scale technology solutions. 
3. Designed, optimized, and documented the Engineering aspects of the Cloud platform.
4. Understood industry best practices and new technologies, influencing and leading technology teams to meet deliverables and drive new initiatives.
5. Reviewed and analyzed complex, large-scale technology solutions in the Cloud for strategic business objectives and solving technical challenges.
6. Collaborated and consulted with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals.
7. Built and enabled cloud infrastructure automated the orchestration of the entire AzureGCP Cloud Platforms.

Experience

7-10 Years

Level

Consultant

Education

BSc Computer Science

Description :

1. Closely worked with Product Team and Vendors to develop and deploy Cloud services to meet customer expectations.
2. Collaborated with cross-functional teams to understand data requirements and design optimal solutions on the Google Cloud Platform. 
3. Designed, developed, and maintained ETL pipelines, data integration processes, and data transformation workflows using GCP data services.
4. Wrote efficient, reliable, and maintainable code in Java to implement data processing logic and custom data transformations. 
5. Utilized GCP services such as BigQuery, Dataflow, PubSub, and DataProc to build scalable and high-performance data processing solutions.
6. Implemented data quality checks, data validation, and monitoring mechanisms to ensure the accuracy and integrity of the data. 
7. Optimized and fine-tuned data pipelines for performance and cost efficiency, making use of GCP best practices.

Experience

7-10 Years

Level

Senior

Education

BSc Data Science

Description :

1. Worked in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. 
2. Implemented methods for automation of all parts of the pipeline to minimize labor in development and production. 
3. Evaluated client business challenges and worked with the team to ensure the best technology solutions. 
4. Collaborated with clients to decipher business requirements into technical requirements and deliverables. Support existing GCP Data Management implementation.
5. Worked with key business partner groups and other Data Engineering personnel to understand Business unit-wise data requirements for the analytics platform.
6. Worked with other Data Engineering personnel on an overall design for flowing data from various internal and external sources into the Analytics platform.
7. Leveraged the standard toolset and developed ETLELT code to move data from various internal and external sources into the analytics platform.

Experience

10+ Years

Level

Management

Education

BSc Software Engineering

Description :

1. Developed and implemented data ingestion and transformation processes using tools like Apache Beam and Apache Spark.
2. Managed and optimized data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL.
3. Implemented data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.
4. Monitored and troubleshot data pipelines and storage solutions using GCP's Stackdriver and Cloud Monitoring tools.
5. Collaborated with data experts, analysts, and product teams to understand data needs and deliver effective solutions.
6. Automated data processing tasks using scripting languages like Python.
7. Participated in code reviews and contributed to establishing best practices for data engineering on GCP.

Experience

5-7 Years

Level

Executive

Education

BA Mathematics

Description :

1. Understood the data requirements of the organization and worked closely with data scientists, business analysts, and other stakeholders to design effective data models and structures. 
2. Built a scalable and robust data architecture that aligns with the organizations goals.
3. Worked with GCP services like Google Cloud Storage, Bigquery, Dataflow, and PubSub to build data ingestion, transformation, and processing pipelines. 
4. Involved in coding, scripting, and configuring these services to ensure data is processed and transformed efficiently.
5. Performed data cleansing, aggregation, enrichment, and normalization to ensure data consistency, accuracy, and usability for downstream applications and analytics.
6. Optimized the performance of data processing workflows. 
7. Monitored data pipelines, identify bottlenecks, and fine-tuned the pipelines for optimal performance. 

Experience

2-5 Years

Level

Junior

Education

BSc Information Technology

Description :

1. Ensured efficient resource utilization, reduced processing time, and achieved optimal performance for data processing and analysis tasks.
2. Attended training sessions, pursued relevant certifications, participated in industry events and forums, and stayed connected with the data engineering community
3. Researched and evaluated new tools, frameworks, and methodologies that can help identify opportunities for innovation and improvement within your organization.
4. Responsible for conducting research, attending conferences, and staying connected with the data engineering community.
5. Automated data engineering tasks to improve efficiency and productivity. This involves developing scripts, and workflows, or using tools like Cloud Composer or Cloud Functions to automate repetitive or time-consuming data processes. 
6. Supervised team activities including work scheduling, technical direction, and standard development practices, staff project and/or production support activities, being mindful of the associated costs.
7. Assisted in the delivery of cloud-based data warehouse, lake, and smart solutions.

Experience

0-2 Years

Level

Fresher

Education

MSc Information Systems

Description :

1. Designed, documented, and implemented data warehouse strategies, including building ETL, ELT, and Data Pipeline processes.
2. Developed processes for loading and transforming large volumes of structured and semi-structured data.
3. Participated in data warehouse development by defining metadata and security standards.
4. Performed a variety of tasks to facilitate the completion of projects including but not limited to coordinating communication with outside departments, writing documentation and specifications, testing, and consulting.
5. Designed, developed, and implemented core functionalities of Google's Identity platform.
6. Collaborated with cross-functional teams (engineering, product, security) to understand user needs and translate them into technical requirements.
7. Worked on integrating Google's identity solutions with various external identity providers (IdPs) and relying parties (RPs) using industry standards like SAML, OIDC, and OAuth.

Experience

7-10 Years

Level

Consultant

Education

MSc Cloud Computing

Description :

1. Implemented strong security measures to protect user data and prevent unauthorized access.
2. Actively participated in code reviews, identified potential issues, and suggested improvements.
3. Kept up-to-date with the latest advancements in identity management protocols and best practices.
4. Contributed to the development and documentation of technical specifications and design decisions.
5. Responsible for troubleshooting technical issues, conducting root cause analysis, and implementing timely resolutions to minimize downtime.
6. Designed, built, and maintained large-scale data infrastructure and processing systems. 
7. Created scalable solutions to support data-driven applications, analytics, and business intelligence.

Experience

7-10 Years

Level

Senior

Education

MSc AI

Description :

1. Optimized data processing and query performance through fine-tuning data pipelines, database configurations, and partitioning strategies.
2. Implemented and monitored data quality checks and validations to ensure reliable data for analytics and applications.
3. Applied security measures to safeguard sensitive data, coordinating with security teams to ensure encryption, access controls, and regulatory compliance.
4. Collaborated with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders.
5. Designed and developed data infrastructure components such as data warehouses, data lakes, and data pipelines.
6. Established and maintained auditing, monitoring, and alerting mechanisms to ensure data governance and system performance.
7. Explored and implemented new frameworks, platforms, or cloud services to enhance data processing capabilities.

Experience

10+ Years

Level

Management

Education

MSc Business Analytics

Description :

1. Contributed to project estimation and provided insights to technical leads.
2. Participated in Agile scrum activities, project status meetings, and user story groomingdesign discussions.
3. Analyzed complex data structures from various sources and designed large-scale data engineering pipelines.
4. Developed robust ETL pipelines, designed database systems, and created data processing tools using programming skills.
5. Performed data engineering tasks including ETL development, testing, and deployment.
6. Collaborated with developers on ETL jobpipeline development and integrated components for automation.
7. Documented data engineering processes, workflows, and systems for reference and knowledge sharing.

Experience

5-7 Years

Level

Executive

Education

BSc Computer Science